Lusha vs Apollo [2026]

Lusha and Apollo are two of the most popular B2B data tools for sales teams. Both promise to give you accurate contact data. Both show up in every "best prospecting tools" list. And both leave meaningful gaps in accuracy and coverage that most review sites gloss over.

This is an honest comparison. We will cover where each tool genuinely excels, where it falls short, and why a growing number of teams are moving beyond the single-source model entirely.

Quick Comparison Table

The table highlights a clear trade-off. Lusha prioritizes simplicity and phone data. Apollo prioritizes breadth and built-in outreach. Neither prioritizes verified accuracy above all else.

Lusha in 2026: Simple but Limited

Lusha started as a Chrome extension that reveals contact details while browsing LinkedIn. That core use case -- quick lookups during prospecting -- is still what Lusha does best.

Strengths

Browser extension: Lusha's Chrome extension is fast and intuitive. You land on a LinkedIn profile, click the extension, and get email and phone data in seconds. For SDRs who live inside LinkedIn, this workflow is hard to beat.

Phone number coverage: Lusha has invested heavily in direct dial and mobile number data. For teams that cold call, Lusha provides decent phone coverage alongside email data -- something not every tool offers.

CRM integrations: Native integrations with Salesforce and HubSpot push enriched data directly into your CRM. The setup is straightforward. No API work required.

Compliance focus: Lusha emphasizes GDPR and CCPA compliance. The platform allows contacts to opt out, and data sourcing practices are more transparent than most competitors.

Weaknesses

Credit stinginess: The Pro plan at $49/month gives you just 40 credits. That is $1.23 per contact lookup. For a team running even modest prospecting campaigns, those credits evaporate fast. Scaling up means jumping to the Premium plan at $79/month for 80 credits -- still just $0.99 per credit.

No real-time verification: Lusha delivers contact data without verifying it against live mail servers at the time of lookup. The data was verified at some point in the past, but B2B data decays at 22.5% per year. An email that was valid three months ago may bounce today.

Limited enrichment depth: Lusha provides basic contact details -- name, email, phone, company, title. It does not offer firmographic depth like revenue ranges, technographics, employee growth trends, or funding data. If you need enriched company profiles for segmentation or ICP scoring, you need another tool.

Small database relative to price: At 100M+ contacts, Lusha's database is respectable but thin compared to Apollo's 275M+ or aggregated sources that exceed 400M+. Coverage gaps are noticeable for SMBs, non-tech industries, and contacts outside North America.

Apollo in 2026: All-in-One, Single-Source

Apollo has grown from a lightweight prospecting tool into a full sales engagement platform. It combines data, sequences, and analytics in one product -- and its free tier makes it the default starting point for early-stage teams.

Strengths

All-in-one platform: Apollo bundles prospecting, email sequences, call dialing, task management, and analytics into a single tool. You can find a contact, add them to a sequence, and track engagement without switching platforms.

Large database: 275M+ contacts across industries and geographies. For raw coverage from a single source, Apollo offers more data per dollar than most competitors.

Generous free tier: Apollo's free plan includes limited credits and basic sequence functionality. This makes it easy to trial without a procurement conversation -- a genuine advantage for startups and small teams.

Buying intent signals: Apollo has added intent data features that surface accounts showing purchasing signals. While not as mature as ZoomInfo's intent data, it adds value at a fraction of the cost.

Affordable entry point: At $49/user/month for the Basic plan, Apollo undercuts ZoomInfo by an order of magnitude. For teams that need "good enough" data with outreach built in, the value proposition is clear.

Weaknesses

73% email accuracy: This is the number that matters most. In independent testing and user reports, Apollo's email deliverability hovers around 73%. That means roughly 27 out of every 100 emails bounce. Those bounces damage your sender domain reputation, reduce deliverability on future campaigns, and waste your team's time on contacts that never receive your message.

Single database architecture: Like every traditional data provider, Apollo maintains one proprietary database. When that database has a gap -- and every database does -- you get no result or a bad result. There is no fallback, no second source, no verification layer.

Per-seat pricing: Apollo charges per user. A five-person sales team on the Professional plan ($99/user/month) pays $495/month before you count credits. Add managers who need reporting access and the cost climbs further. This model penalizes growing teams.

Sequence quality depends on data quality: Apollo's built-in sequences are a genuine feature advantage. But a sequence powered by 73% accurate email data means roughly a quarter of your outreach never arrives. The best cadence in the world cannot fix a wrong email address.

Credit complexity: Apollo's credit system varies by plan tier, and different actions consume different numbers of credits. Export credits, enrichment credits, and phone number credits have separate pools and limits. Understanding your actual cost per contact requires reading the fine print carefully.

Head-to-Head: 5 Key Factors

1. Data Accuracy

This is the factor that determines whether every other feature matters.

Lusha's accuracy sits in the 80-85% range for emails, though the lack of real-time verification makes this variable. A contact looked up today may return data that was last verified months ago. Lusha does not tell you when the email was last confirmed valid.

Apollo's accuracy is lower -- around 73% based on independent benchmarks. Apollo's database is larger than Lusha's, but size does not equal accuracy. A bigger database with more stale records can actually produce worse results than a smaller, better-maintained one.

For context: an email bounce rate above 5% actively damages your sender reputation. At 73% accuracy, you are starting every campaign with a 27% bounce rate before a single reply comes in. At 80-85%, you are still well above the threshold that triggers deliverability warnings from providers like Google and Microsoft.

Waterfall enrichment breaks through this ceiling by querying 15+ sources per lookup and verifying every email in real-time. The result is 98% accuracy -- not because any single source is perfect, but because multiple sources cover each other's gaps.

2. Pricing and Value

Lusha's credit-per-dollar ratio is the weakest of any major provider. At $49/month for 40 credits, you are paying more than $1.20 per contact. The Premium plan ($79/month, 80 credits) drops the cost to roughly $1.00 per credit, but that is still expensive for unverified data.

Apollo offers more data per dollar. The Basic plan ($49/user/month) includes more generous credit allowances, and the free tier lets you test before committing. But per-seat pricing means costs scale with headcount, not usage.

Cleanlist charges $29/month for 500 credits with no per-seat fees. That is $0.058 per credit -- roughly 20 times cheaper than Lusha on a per-lookup basis. Additional credits scale linearly without plan jumps. See full pricing.

3. Phone Numbers

Lusha's phone data is one of its genuine strengths. Direct dials and mobile numbers are available for a meaningful portion of contacts, and the data quality for phones is competitive. If cold calling is central to your sales motion, Lusha delivers.

Apollo provides phone numbers as well, but coverage and accuracy are less consistent than Lusha's. Phone data is available on higher-tier plans, and credit costs for phone reveals are higher than for email-only lookups.

Both tools provide phone data from a single source. For teams that need the highest phone coverage, a multi-source approach fills gaps that any single provider misses.

4. Built-in Outreach

This is Apollo's clearest differentiator. No other major data tool at this price point includes a full sequence builder with email, calls, tasks, and LinkedIn steps. For teams that want to consolidate their stack, Apollo eliminates the need for a separate Outreach or Salesloft subscription.

Lusha does not offer sequences or outreach automation. It is purely a data tool. You find contacts in Lusha, then move them to your CRM or outreach platform to execute campaigns.

The trade-off is real: Apollo gives you convenience at the cost of data accuracy. If your sequences run on 73% accurate data, convenience creates a false sense of productivity. You feel busy, but a quarter of your outreach is hitting dead addresses.

5. Email Verification

Neither Lusha nor Apollo verifies emails in real-time at the moment of lookup.

Lusha relies on periodic batch verification of its database. Apollo similarly pre-verifies data and serves cached results. Both approaches leave a verification gap -- the time between the last check and your lookup.

Given that B2B professionals change jobs every 2.7 years on average and data decays at 22.5% annually, a verification that happened even 90 days ago may no longer be reliable.

Real-time email verification at the point of delivery is the only way to guarantee accuracy. This is not a feature either Lusha or Apollo currently offers. It is a fundamental architectural difference in how waterfall enrichment works.

The Credit Math Nobody Talks About

Lusha charges $49/month for 40 credits. That is $1.23 per contact lookup -- for data that is not verified in real-time.

Apollo is more generous per credit but charges per seat. Five reps on the Professional plan run $495/month before you account for the 27% of emails that will bounce.

Now calculate cost per valid contact delivered -- the number that actually matters:

• Lusha: $1.23 per lookup at ~82% accuracy = roughly $1.50 per valid contact
• Apollo: ~$0.10 per lookup at 73% accuracy = roughly $0.14 per valid contact (plus $99/user/month seat fees on top)
• Cleanlist: $0.058 per lookup at 98% accuracy = roughly $0.059 per valid contact (no seat fees)

The cheapest tool per lookup is not always the cheapest tool per result. And the most expensive per lookup is not always the most expensive per valid contact.

This is where waterfall enrichment changes the math. By routing each lookup through multiple providers and verifying every email before returning it, effective accuracy hits 98%. Nearly every credit produces a usable contact. There is almost no waste.

Cleanlist runs this model at $29/month for 500 credits. No per-seat fees. No annual lock-in. Scale by adding credits, not by adding seats.

When to Choose Each

Choose Lusha if:

• Your primary workflow is LinkedIn-based prospecting with the Chrome extension
• Cold calling is a core sales motion and you need reliable phone numbers
• You only look up a small number of contacts per month (under 40)
• GDPR compliance visibility is a priority
• You do not need enrichment depth beyond basic contact details

Choose Apollo if:

• You want data and sequences in a single platform to reduce tool sprawl
• You are an early-stage team that needs a free tier to get started
• 73% email accuracy is acceptable for your use case and sending volume
• Per-seat pricing works for your team size (small teams benefit most)
• You need intent signals on a budget smaller than ZoomInfo's

Choose Cleanlist if:

• Data accuracy is your top priority and 73-85% deliverability is not good enough
• You want 15+ data sources queried per lookup with real-time verification
• Credit-based pricing without per-seat fees fits your budget model
• You need both emails and phone numbers verified before delivery
• You want to scale usage without scaling costs linearly per team member

Compare Cleanlist vs Lusha or Cleanlist vs Apollo for detailed breakdowns.

Frequently Asked Questions

Is Lusha or Apollo better for cold calling?

Lusha has the edge for cold calling. Its phone number coverage -- both direct dials and mobile numbers -- is more consistent than Apollo's. Lusha was built around the use case of quick contact lookups, and phone data has been a priority since day one. Apollo provides phone numbers as well, but they are gated behind higher-tier plans and credit costs are higher. If cold calling is your primary motion, Lusha delivers better phone data per dollar. If you need both phone data and email sequences in one tool, Apollo offers more convenience but with less reliable phone coverage.

Why is Apollo's email accuracy only 73%?

Apollo relies on a single proprietary database of 275M+ contacts. That database is large, but it is refreshed on a rolling schedule rather than verified in real-time at the point of lookup. B2B data decays at roughly 22.5% per year -- people change jobs, companies restructure, email domains change. When Apollo serves you a cached result that was last verified weeks or months ago, there is a meaningful probability the email is no longer valid. The 73% figure comes from independent testing and reflects the structural limitation of any single-source approach, not a lack of engineering effort on Apollo's part.

How much does Lusha actually cost per contact?

On the Pro plan ($49/month for 40 credits), each contact lookup costs $1.23. The Premium plan ($79/month for 80 credits) brings the cost down to roughly $0.99 per credit. Scale plans with higher volumes require contacting sales. By comparison, Cleanlist's $29/month plan provides 500 credits at $0.058 per lookup -- roughly 20 times cheaper per contact than Lusha's Pro tier. The cost gap becomes even more significant at volume. See Cleanlist pricing for current rates.

Can I use Lusha or Apollo data without verifying it?

You can, but you should not. Sending to unverified email addresses is the fastest way to damage your sender domain reputation. Email providers like Google and Microsoft track your bounce rate across campaigns. Once your bounce rate exceeds 5%, your emails start landing in spam -- not just for the bad addresses, but for all recipients. Both Lusha and Apollo deliver data without real-time verification, so running their output through an email verification step before sending is strongly recommended. Waterfall enrichment tools like Cleanlist verify every email at the point of lookup, eliminating this extra step.

What is waterfall enrichment and how does it compare?

Waterfall enrichment sends each contact request through a chain of data providers rather than stopping at one. If Provider A does not have the contact, Provider B is checked. If Provider B returns an email that fails verification, Provider C provides one that passes. This continues until a verified result is found or all sources are exhausted. The practical difference is coverage and accuracy -- no single provider has every contact, but a chain of providers collectively covers far more ground. The cost per valid contact ends up lower than either Lusha or Apollo despite their cheaper per-lookup pricing, because nearly every credit produces a usable result. Learn how it works.

The Bottom Line

Lusha is a good tool for a specific job: quick contact lookups from LinkedIn. If you prospect by browsing profiles and need a phone number right now, the Chrome extension does that well. Just watch the credit math -- 40 lookups for $49 adds up fast.

Apollo is the practical all-in-one for teams that want data and outreach without managing multiple subscriptions. The free tier gets you started without a purchase order. The per-seat pricing catches up as you grow, and 73% email accuracy means your sequences hit dead addresses more often than they should.

Neither tool verifies data in real-time. Neither queries more than one source. Both deliver results that were accurate at some point -- and may or may not be accurate when your email hits send.

If you have ever cleaned up a CRM full of bounced emails from a "verified" data provider, you already know the cost of that gap.

Try Cleanlist free and run your own contacts through it.